log_regr_data: Dataset: admission to graduate school
In gianmarcoalberti/GmAMisc: Gianmarco Alberti Miscellaneous
Description
Usage
Format
Details
Description
A dataset containing information about the admission to graduate school of 400 individuals; the dataset features a binary dependent variable and 3 predictors.
Dataset is after: https://stats.idre.ucla.edu/r/dae/logit-regression/
Usage
1
Format
A data frame with 400 rows and 4 variables
Details
admit. Binary dependent variable (admission yes=1, admission no=0)
gre. Graduate Record Exam score; predictor (continuous)
gpa. Grade Point Average; predictor (continuous)
rank. Prestige of the undergraduate school (ordinal)
gianmarcoalberti/GmAMisc documentation built on May 3, 2019, 6:44 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Format Details
Description
A dataset containing information about the admission to graduate school of 400 individuals; the dataset features a binary dependent variable and 3 predictors. Dataset is after: https://stats.idre.ucla.edu/r/dae/logit-regression/
Usage
1 |
Format
A data frame with 400 rows and 4 variables
Details
admit. Binary dependent variable (admission yes=1, admission no=0)
gre. Graduate Record Exam score; predictor (continuous)
gpa. Grade Point Average; predictor (continuous)
rank. Prestige of the undergraduate school (ordinal)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.